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Computational Skills

High level of digital literacy.

Confident using Python.

Proficient in R for statistical analyses and mathematical modelling (self-taught).

Front-end web development using Python, HTML, CSS.

Confident using ArcGIS for spatial analyses and SPSS.

Some knowledge of C and Linux, having completed short courses in both.

Other Activities & Hobbies

I engage with ecological citizen science projects online and locally: including bat, bird and invertebrate counts, as well as participating in Zooniverse projects online.

Member of the British Ecological Society: I enjoyed their weekly webinar series Ecology Live throughout this year and last.

I attended the virtual European R Users Meeting in 2020; this motivated me to pursue data science further.

Disclaimer

Created using the R packages pagedown and datadrivencv

Last updated on 2021-07-21.

Main

Natasha Ramsden

Having pursued the fields of ecology and evolution through my studies and work experience so far, I am enthusiastic to further this at the same time as gaining more experience in the world of data science. I begin a master’s degree in Computational Methods in Ecology and Evolution at Imperial College London in October.

Education

BSc Natural Sciences specialising in Biology

First Class Honours

University of York

2020 - 2016

  • Refined areas of interest towards ecology, evolution and conservation, having initially studied a broad range of science subjects.
  • Extensive laboratory and field skills from across multiple disciplines, confident working independently.
  • Advanced scientific problem solving, critical thinking and quantitative abilities, developed throughout rigorous degree which has required disciplined time management skills.
  • Research project: “Coexistence and dynamics in a multispecies plankton model with variable predation”. Modelled dynamic plankton assemblages using R.
  • Produced, handled and interpreted complex data, before synthesising into concise written reports and clear presentations.
  • Academic environmental science representative for Natural Sciences, required student-staff liaising to effectively communicate problems.

A Levels

Biology (A*), Chemistry (A), Maths (A)

Tollbar Sixth Form College

2016 - 2014

GCSEs

10 A* inc. Maths, Biology, Chemistry and Physics, 1 A

Tollbar Academy

2014 - 2009

Work Experience

Science and Maths Tutor

Privately and MyTutor

N/A

Current - 2020

  • Condensing scientific theory into simple explanations suited to audiences of different abilities has led to accomplished science communication skills.
  • Visual presentations skills developed through creating engaging lesson materials from scratch tailored to students’ needs.
  • Sharing and encouraging enthusiasm for science whilst developing students’ confidence and knowledge.

Practical Conservation Volunteer

St Nicks, York

N/A

2020 - 2018

  • Practical conservation skills that compliment field skills gained at University.
  • Community-led project involved teamwork and commitment. Followed on from previous voluntary work at The Ark Animal Rescue and Retirement Home, position held for three years (2013-2016).

Research Assistant

Univeristy of York

N/A

2019

  • Assisted PhD student with previously unseen project investigating behavioural ecology of woodlice.
  • Laboratory work dealing with invertebrates, contributing towards current research.
  • Experience in working as part of academic research group.